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models. Additionally, you will identify pathways for industrialization. You will publish your findings in international journals and present them at conferences. You will be part of a network! “IntelliWind
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RPTU University of Kaiserslautern-Landau • | Kaiserslautern, Rheinland Pfalz | Germany | about 8 hours ago
the education of young researchers affiliated with the research projects of the transregio. To this end, the college provides training opportunities, guidance, and a pleasant networking environment in order to
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researchers in chemistry, physical chemistry, physics, biophysics, biology, biomechanics, mechanical engineering and electrical engineering work together in the Cluster. The HEiKA Graduate School on “Functional
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disciplinary depth and interdisciplinary approaches. It also offers opportunities for international network building. The members of the Academic Board of the doctoral programme belong to different disciplines
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physics or a related field is required Strong background in physics and/or optics, with enthusiasm for hands-on experimental work Willingness to work in a cleanroom environment with highly sensitive optical
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Virtual Training Environment (VTE) for disaster response simulation, integration of Building Information Modelling (BIM) with Structural Health Monitoring (SHM) using smart sensor networks, and resilience
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peer-reviewed journals Your Profile: A Master’s degree in chemistry, physics, environmental science, atmospheric science, meteorology, or a related discipline Strong experimental skills; experience in
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, bioinformatics The Marie Skłodowska Curie Doctoral Network “DyeAnotherWay” is inviting applications for a 36 month full time fixed term position as a Doctoral Candidate (DC). This research project is a
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, computer science, medicine, pharmacology, and physics. ISAS is a member of the Leibniz Association and is publicly funded by the Federal Republic of Germany and its federal states. At our location in
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: Develop an event-driven RL algorithm that sparsely updates network state and parameters that will significantly improve energy to-solution efficiency compared to conventional digital accelerators when